| Autor: |
Helmy H; Graduate School of Environmental Science, Sriwijaya University, Palembang 30139, Indonesia.; Department of Environmental Sanitation, Tanjung Karang Health Polytechnic, Bandar Lampung 35145, Indonesia., Kamaluddin MT; Department of Pharmacology, Faculty of Medicine, Sriwijaya University, Palembang 30114, Indonesia., Iskandar I; Department of Physics, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Indralaya 30662, Indonesia., Suheryanto; Department of Chemistry, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Indralaya 30662, Indonesia. |
| Jazyk: |
angličtina |
| Zdroj: |
Tropical medicine and infectious disease [Trop Med Infect Dis] 2022 Aug 26; Vol. 7 (9). Date of Electronic Publication: 2022 Aug 26. |
| DOI: |
10.3390/tropicalmed7090212 |
| Abstrakt: |
Tuberculosis (TB) is a highly infectious disease, representing one of the major causes of death worldwide. Sustainable Development Goal 3.3 implies a serious decrease in the incidence of TB cases. Hence, this study applied a spatial analysis approach to investigate patterns of pulmonary TB cases and its drivers in Bandar Lampung (Indonesia). Our study examined seven variables: the growth rate of pulmonary TB, population, distance to the city center, industrial area, green open space, built area, and slum area using geographically weighted Poisson regression (GWPR). The GWPR model demonstrated excellent results with an R 2 and adjusted R 2 of 0.96 and 0.94, respectively. In this case, the growth rate of pulmonary TB and population were statistically significant variables. Spatial pattern analysis of sub-districts revealed that those of Panjang and Kedaton were driven by high pulmonary TB growth rate and population, whereas that of Sukabumi was driven by the accumulation of high levels of industrial area, built area, and slums. For these reasons, we suggest that local policymakers implement a variety of infectious disease prevention and control strategies based on the spatial variation of pulmonary TB rate and its influencing factors in each sub-district. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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